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Abstract

The paper is devoted to the algorithm for generation of PDF with vector symbols from scanned documents. The complex
multi-stage technique includes segmentation of the document to text/drawing areas and background, conversion of
symbols to lines and Bezier curves, storing compressed background and foreground. In the paper we concentrate on
symbol conversion that comprises segmentation of symbol bodies with resolution enhancement, contour tracing and
approximation. Presented method outperforms competitive solutions and secures the best compression rate/quality ratio.
Scaling of initial document to other sizes as well as several printing/scanning-to-PDF iterations expose advantages of
proposed way for handling with document images. Numerical vectorization quality metric was elaborated. The outcomes
of OCR software and user opinion survey confirm high quality of proposed method.

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Advanced PhotonicsJournal of Applied Remote SensingJournal of Astronomical Telescopes Instruments and SystemsJournal of Biomedical OpticsJournal of Electronic ImagingJournal of Medical ImagingJournal of Micro/Nanolithography, MEMS, and MOEMSJournal of NanophotonicsJournal of Photonics for EnergyNeurophotonicsOptical EngineeringSPIE Reviews